𝗦𝗼𝗼𝗻, 𝗮 𝗻𝗲𝘄 𝘄𝗮𝘃𝗲 𝗼𝗳 𝗻𝗼𝘃𝗲𝗹 𝗔𝗜 𝘄𝗶𝗹𝗹 𝗯𝗲𝗰𝗼𝗺𝗲 𝗺𝗮𝗶𝗻𝘀𝘁𝗿𝗲𝗮𝗺.
In 2023, AI went mainstream in:
> Image, text, and audio generation
> Large language models (LLMs)
In 2024+, you can look forward to:
𝗣𝗿𝗼𝘁𝗲𝗶𝗻 𝗗𝗲𝘀𝗶𝗴𝗻
AI-driven protein design involves using AI to predict the three-dimensional structures of proteins and design new proteins with specific functions, which could have significant implications for drug discovery and synthetic biology.
Startups building this tech include Menten AI, Heliopolis Biotech, and Innophore.
𝗟𝗲𝘃𝗲𝗹 𝟱 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗩𝗲𝗵𝗶𝗰𝗹𝗲𝘀 (𝗔𝗩𝘀)
At Level 5, vehicles can operate without any human intervention under all conditions. The AI systems for these vehicles would need to handle complex scenarios and make split-second decisions.
Startups building this tech include Einride, Cortica, and Nuro.
𝗙𝘂𝗹𝗹𝘆 𝗛𝗼𝗺𝗼𝗺𝗼𝗿𝗽𝗵𝗶𝗰 𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻 (𝗙𝗛𝗘)
FHE allows computations to be carried out on encrypted data, without needing to decrypt it. This could revolutionize data privacy, enabling AI to learn from data without actually accessing sensitive information.
Startups building this tech include Fhenix and PrivID, Inc..
𝗔𝗜 𝗛𝗮𝗿𝗱𝘄𝗮𝗿𝗲 𝗹𝗶𝗸𝗲 𝗧𝗣𝗨𝘀 𝗮𝗻𝗱 𝗜𝗻-𝗺𝗲𝗺𝗼𝗿𝘆 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴
TPU (Tensor Processing Units) and in-memory computing hardware advancements will enable faster and more efficient processing for AI tasks, potentially revolutionizing the speed and capabilities of AI applications.
Startups building this tech include Axelera AI, Luminous Computing, and EnCharge AI.
Which novel AI tech are you invested in? 💬
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Image sourced from Dealroom 2023 Deep Tech Report